Question

In: Statistics and Probability

Some types of cancer are much more common than others. Although genetic and environmental factors contributing...

Some types of cancer are much more common than others. Although genetic and environmental factors contributing to cancer often make the news, cancer may also arise from random mutations during routine stem cell divisions over the course of a lifetime. Researchers examined the relationship between the total number of stem cell divisions in the lifetime of a given tissue and the lifetime risk of cancer in that tissue. The table provides the data for 3131 types of cancers for which this information is known in the U.S. population. Each risk value reflects the proportion of individuals in the population who get this particular cancer over their lifetime.

Lifetime risk and number of stem divisions for 3131 cancer types
?????? ????Cancer type ???????? ????Lifetime risk Stem cell divisions Cancer type ???????? ????Lifetime risk ???? ???? ?????????Stem cell divisions
AM leukemiaAM leukemia 0.00410000.0041000 129,900,000,000129,900,000,000 Lung (smokers) 0.08100000.0810000 9,272,000,0009,272,000,000
Basal cell 0.30000000.3000000 3,550,000,000,0003,550,000,000,000 Medulloblastoma 0.00011000.0001100 272,000,000272,000,000
CL leukemia 0.00520000.0052000 129,900,000,000129,900,000,000 Melanoma 0.02030000.0203000 763,800,000,000763,800,000,000
Colorectal 0.04800000.0480000 1,168,000,000,0001,168,000,000,000 Osteosarcoma 0.00035000.0003500 29,260,00029,260,000
FAP colorectal 1.00000001.0000000 1,168,000,000,0001,168,000,000,000 Arms osteosarcoma 0.00004000.0000400 4,550,0004,550,000
Lynch colorectal 0.50000000.5000000 1,168,000,000,0001,168,000,000,000 Head osteosarcoma 0.00003020.0000302 6,020,0006,020,000
Duodenum 0.00030000.0003000 7,796,000,0007,796,000,000 Legs osteosarcoma 0.00022000.0002200 11,130,00011,130,000
FAP duodenum 0.03500000.0350000 7,796,000,0007,796,000,000 Pelvis osteosarcoma 0.00003000.0000300 3,150,0003,150,000
Esophageal 0.00193800.0019380 1,203,000,0001,203,000,000 Ovarian germ cell 0.00041100.0004110 22,000,00022,000,000
Gallbladder 0.00280000.0028000 78,400,00078,400,000 Pancreatic ductal 0.01358900.0135890 342,800,000,000342,800,000,000
Glioblastoma 0.00219000.0021900 270,000,000270,000,000 Pancreatic islet 0.00019400.0001940 6,068,000,0006,068,000,000
Head and neck 0.01380000.0138000 31,860,000,00031,860,000,000 Small intestine 0.00070000.0007000 292,200,000,000292,200,000,000
HPV head and neck 0.07935000.0793500 31,860,000,00031,860,000,000 Testicular 0.00370000.0037000 3,348,000,0003,348,000,000
Hepatocellular 0.00710000.0071000 270,900,000,000270,900,000,000 Thyroid follicular 0.01026000.0102600 585,000,000585,000,000
HCV hepatocellular 0.07100000.0710000 270,900,000,000270,900,000,000 Thyroid medullary 0.00032400.0003240 58,500,00058,500,000
Lung (nonsmokers) 0.00450000.0045000 9,272,000,0009,272,000,000

To access the complete data set, click the link for your preferred software format:

Excel  Minitab  JMP  SPSS TI  R  Mac-TXT   PC-TXT  CSV  CrunchIt!

(a) Using the software of your choice, make a scatterplot showing lifetime cancer risk as a function of total number of stem cell divisions.

Choose the best description of the form, direction and strength of the relationship. Would it be appropriate to compute the correlation ?r between these two variables?

a. The scatterplot is not linear and no apparent correlation is observed. Because the nonlinear nature of the plot it is not appropriate to compute the correlation ?r .

b. The scatterplot is not linear and no apparent correlation is observed. Because the nonlinear nature of the plot it is appropriate to compute the correlation ?r .

c. The scatterplot is linear so it is appropriate to compute the correlation ?r .

d. The scatterplot is linear so it is not appropriate to compute the correlation ?r .

(b) When a variable spreads over several orders of magnitude, transforming the data using a base‑1010 logarithm function helps focus on these differences of magnitude. What are the minimum and maximum for each variable? Now obtain the base‑1010 log of each value in the table. What are the minimums and maximums now?

(Enter your answers rounded to four decimal places, except for maximum for lifetime risk base 10maximum for lifetime risk base 10 , which should be rounded to five decimal places.

minimum for lifetime risk base 10minimum for lifetime risk base 10: __________

maximum for lifetime risk base 10maximum for lifetime risk base 10: __________

minimum for stem cell divisions base 10minimum for stem cell divisions base 10: _________

maximum for stem cell divisions base 10maximum for stem cell divisions base 10: _________

(c) Using the software of your choice, make a scatterplot showing the log of lifetime cancer risk as a function of the log of total number of stem cells divisions. Describe the form, direction, and strength of this log–log relationship.

How strong is the relationship between the log of cancer risk and the log of stem cell division?

a. The log–log relationship of Lifetime risk and Stem cell divisions shown is negative, linear and strong.

b. The log–log relationship of Lifetime risk and Stem cell divisions shown is negative, nonlinear and weak.

c. The log–log relationship of Lifetime risk and Stem cell divisions shown is positive, linear and strong.

d. The log–log relationship of Lifetime risk and Stem cell divisions shown is positive, linear and weak.

Use software to obtain the value of ?r for the log‑transformed data. (Enter your answer rounded to four decimal places.)

?= ________

Solutions

Expert Solution

a) Choose the best description of the form, direction and strength of the relationship. Would it be appropriate to compute the correlation ?r between these two variables?

The scatter plot is linear so it is appropriate to compute the correlation ?r .

Option - C

b) When a variable spreads over several orders of magnitude, transforming the data using a base‑1010 logarithm function helps focus on these differences of magnitude. What are the minimum and maximum for each variable? Now obtain the base‑1010 log of each value in the table. What are the minimums and maximums now?

minimum for lifetime risk base 10: 0.00003

maximum for lifetime risk base 10: 0.50000

minimum for stem cell divisions base 10: 3,150,000

maximum for stem cell divisions base 10: 3,550,000,000,000

c) How strong is the relationship between the log of cancer risk and the log of stem cell division?

The log–log relationship of Lifetime risk and Stem cell divisions shown is positive, linear and strong.

Option - C

Use software to obtain the value of ?r for the log‑transformed data.

r = 0.0342


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